Presentation | 1998/2/19 Spotting Recognition System of Gestures using Shape Features from Gray-scale Image Sequence Takuichi Nishimura, Toshiro Mukai, Ryuichi Oka, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have studied spotting recognition of human gestures from time-varying images. But the previous work focused on motion detection using time-differential image sequence. Therefore, in this paper, we try to develop a new recognition system which can get the shape or direction information of hands. And using this information, the system can distinguish gestures even when their motion features are similar to one another. Evaluation experiments using 42 gestures show the effectiveness of the proposed feature. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | gesture recognition / motion image processing / continuous DP / spotting / shape feature |
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Committee | PRMU |
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Conference Date | 1998/2/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Spotting Recognition System of Gestures using Shape Features from Gray-scale Image Sequence |
Sub Title (in English) | |
Keyword(1) | gesture recognition |
Keyword(2) | motion image processing |
Keyword(3) | continuous DP |
Keyword(4) | spotting |
Keyword(5) | shape feature |
1st Author's Name | Takuichi Nishimura |
1st Author's Affiliation | Tsukuba Research Center Real World Computing Partnership() |
2nd Author's Name | Toshiro Mukai |
2nd Author's Affiliation | Tsukuba Research Center Real World Computing Partnership |
3rd Author's Name | Ryuichi Oka |
3rd Author's Affiliation | Tsukuba Research Center Real World Computing Partnership |
Date | 1998/2/19 |
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Volume (vol) | vol.97 |
Number (no) | 558 |
Page | pp.pp.- |
#Pages | 8 |
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